AI Visibility Monitor
Run the questions your customers ask against an AI model and check whether your brand appears in the answer, in what context, and which competitors get mentioned instead.
One query per line. Write questions your potential customers would ask an AI.
Suggested queries
What this monitor measures, and what it does not
It runs each question you give it against Claude, by Anthropic, and analyses the answer: whether your brand appears, in what context, and which other tools or companies get mentioned. It is a real measurement of one model, not an estimate.
Worth knowing: today it queries a single model. AI models do not agree with each other — what Claude answers is not necessarily what ChatGPT, Gemini or Perplexity answer — so treat it as a representative sample of how an LLM describes you, not as your total AI visibility.
How to measure your AI visibility step by step
The monitor does not crawl your site: it reproduces the conversation a prospect would have with an assistant and checks whether you come up in it.
- 1
Enter your brand and your domain. The domain catches mentions where you are cited by website rather than by name.
- 2
Add the questions someone who does not know you yet would ask. “Best tools for X” works better than “what is X”: the first asks for a list of brands, the second for a definition.
- 3
Run the analysis. Each question runs separately and returns the full answer, so you see the exact context in which you do or do not appear.
- 4
Review the competitors detected. When you are absent, who appears instead is the most actionable information there is: those are the pages the model treats as sources for that question.
Repeat the same set of questions each month rather than changing them. Month-on-month comparison is worth more than a single snapshot, because a model's answers vary between runs.
How to read the result
Training data
Models learn from text published on the web. If your brand appears frequently in articles, forums and specialized blogs, it is more likely to be mentioned.
Topical authority
Models associate brands with specific topics. Creating deep and specific content about your niche increases the association between your brand and that topic.
Mentions in authority sources
Mentions in recognized media, Wikipedia, technical documentation and reference blogs carry more weight than mentions on low-authority sites.
How to choose the questions you run
AI visibility is not optimized with the same techniques as traditional SEO. These are the most effective strategies:
- •Create content that directly answers specific questions in your industry — models prioritize content in question-and-answer format (FAQ, step-by-step guides).
- •Earn mentions in specialized media, reference blogs and technical forums — the more external sources cite you, the more familiar your brand is to the model.
- •Implement complete schema markup (Organization, Product, FAQPage) — structured data helps models understand exactly what your brand is and what it does.
- •Keep your Wikipedia or Wikidata entry up to date if your brand has sufficient entity — it is one of the highest-weight sources in LLM training.
Frequently asked questions about GEO and AI visibility
Traditional SEO optimizes to appear in Google search results (results pages with links). GEO optimizes to be mentioned directly in the responses of AI models like ChatGPT, Gemini or Perplexity, which respond without showing a list of links. They are complementary channels, not mutually exclusive.
Monthly is sufficient for most brands. AI models are updated every few months with new training data, so sudden changes in your visibility usually correlate with model updates or significant changes in your online presence.
Not directly — models cannot be 'paid' to mention a brand. The only way is to increase the organic presence of your brand in the sources from which models learn: articles, blogs, forums, technical documentation, specialized media and structured data on your website.
No. Each model has its own training data and architecture. Your brand may appear frequently in Claude but rarely in ChatGPT, or vice versa. That is why it is important to monitor your visibility in the models most used by your target audience. iRankly will soon add support for multiple models.
Guides on AI visibility
The validator tells you what is broken. These guides explain why it breaks and how to fix it.
What is GEO (Generative Engine Optimization): The New SEO Discipline in the AI Era
GEO or Generative Engine Optimization is the practice of optimizing your brand and content to appear in the responses of AI models like ChatGPT, Gemini, Claude, or Perplexity. Learn what it is, why it matters, and how to get started.
Read guideHow to Get Your Brand to Appear in ChatGPT, Gemini, and Perplexity
Is your brand missing when someone asks ChatGPT or Gemini? There is a solution. Discover 7 concrete actions to get AI models to mention you in their responses.
Read guideSEO vs GEO: Differences, Similarities, and How to Combine Them in 2025
SEO optimizes for Google. GEO optimizes for AI. Are they the same? Do they compete? Do they complement each other? We analyze the real differences and which strategy to follow if you want visibility in both search engines and AI models.
Read guideHow to Optimize Your Content So AI Uses It as a Source
Writing good content for Google is not enough. AI models like ChatGPT or Gemini learn from specific patterns: structure, format, topical authority, and credibility. Learn which GEO techniques to apply today.
Read guideHow to Monitor Your Brand in AI Models: A Practical Guide
Do you know whether ChatGPT, Gemini, or Perplexity recommend your brand when someone asks about your type of product? Monitoring your AI visibility is the first step in any GEO strategy. Learn how to do it.
Read guideGEO for Ecommerce: How to Appear in AI Recommendations
Users are already asking ChatGPT and Gemini what product to buy. If your online store doesn't appear in those responses, you are losing invisible sales. Learn how to apply GEO in ecommerce with concrete techniques.
Read guideAI Visibility: Perplexity vs ChatGPT vs Gemini — How Each One Works
Not all AI models work the same way. Perplexity searches in real time, ChatGPT uses a static corpus, Gemini combines both. Understanding the differences lets you prioritize your GEO strategy.
Read guide